Blockchain of Carbon Trading for UN Sustainable Development Goals

Abstract

Carbon credits should reduce the environmental pollution and carbon emission of the Earth in the future. The market for carbon credits will become a critical issue from 2021, and carbon credits will be applied to systems where individuals can trade. In order for these carbon credits to be traded between individuals, however, a corresponding exchange of carbon credits is needed. Policies, strategies, and technologies are also necessary to measure the trading of carbon credits. This paper aims at making transactions more reliable by applying blockchain technology to measure carbon emission rights. It uses blockchain to verify carbon emissions rights among the UN-SDGs’ (United Nations Sustainable Development Goals’) 17 tasks. In addition, it introduces the necessary dApp. In fact, we can protect against carbon emissions anomalies by using big data and artificial intelligence in mobile cloud environments. Thus, this paper proposes a blockchain-based carbon emission rights verification system to learn proven data further by using the governance system analysis and blockchain mainnet engine to solve these problems.

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

“…12 Recommendations on using AI in the SDGs of environmental dimension: resources and intelligent management of electrical energy networks (e.g. smart grids), as well as enabling an efficient and predictive exploitation of renewable energy [135][136][137].…”

A European Emissions Trading System Powered by Distributed Ledger Technology: An Evaluation Framework

“…For the energy-intensive fashion apparel manufacturing industries, Fu et al [38] present blockchain-based models for measuring carbon emissions in the production cycle. Beyond general application models of blockchain-based carbon emissions trading [19,[39][40][41][42], Kim and Huh [18] focus on the governance system, whereas Tang and Tang [20] concentrate on the accounting perspective. An integration model of blockchain-based peer-to-peer trading in the energy and the carbon emission market is given by Hua et al [21].…”

“…The idea to enhance carbon trading with DLT is not new [17]. A variety of different technical models have been developed and discussed (e.g., [18][19][20][21][22]). We contribute to these existing models by including the latest DLT developments in the identity layer.…”

Dynamic Adaptive Cross-Chain Trading Mode for Multi-Microgrid Joint Operation

“…By using the blockchain technology to measure carbon emission rights, trading can be made more reliable. Literature [24] proposes a blockchain-based carbon emission rights verification system to learn proven data further by using the governance system analysis and blockchain mainnet engine to solve the problems in the process of carbon trading. In addition, with the use of blockchain technology in the field of electric vehicles, electric vehicle owners can gain enough transparency in energy management and have greater choice in selecting their energy supply [25].…”